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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/04 19:22:54 UTC
[GitHub] [incubator-mxnet] DickJC123 commented on issue #14310: Cudnn conv
dgrad algo filtering
DickJC123 commented on issue #14310: Cudnn conv dgrad algo filtering
URL: https://github.com/apache/incubator-mxnet/pull/14310#issuecomment-469386378
Finished first step of this PR: 'Do an initial PR submission that includes the problem-exposing test, and with a temporary addition of that test to the tensorrt CI test suite.' CI passed, except for the one newly-introduced test (as expected):
```
======================================================================
FAIL: test_operator_gpu.test_conv_deconv_guards
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/nose/case.py", line 198, in runTest
self.test(*self.arg)
File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 173, in test_new
orig_test(*args, **kwargs)
File "/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 543, in test_conv_deconv_guards
check_consistency([sym, sym_no_cudnn], [ctx, ctx], tol=tol)
File "/work/mxnet/python/mxnet/test_utils.py", line 1379, in check_consistency
raise e
File "/work/mxnet/python/mxnet/test_utils.py", line 1374, in check_consistency
equal_nan=equal_nan)
File "/work/mxnet/python/mxnet/test_utils.py", line 495, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error 19129.703125 exceeds tolerance rtol=0.100000, atol=0.100000. Location of maximum error:(1, 21, 49, 24), a=-2059.578857, b=-0.076599
a: array([[[[ -200.87648 , 365.06775 , -56.88517 , ...,
100.96652 , -134.89548 , 156.62936 ],
[ -239.07794 , 498.35898 , 138.86926 , ...,...
b: array([[[[ -200.87619 , 365.0675 , -56.885128 , ...,
100.96669 , -134.89523 , 156.62917 ],
[ -239.07797 , 498.35883 , 138.86902 , ...,...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=1727291009 to reproduce.
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=781016024 to reproduce.
``
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